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source data collection

См. также в других словарях:

  • Open Source Data Integration — The Open Source Data Integration framework from the [http://snaplogic.org SnapLogic] project [cite web|url=http://www.snaplogic.org|title= Open Source Data Integration Framework] is an open source framework for enterprise scale data integration.… …   Wikipedia

  • Data compression — Source coding redirects here. For the term in computer programming, see Source code. In computer science and information theory, data compression, source coding or bit rate reduction is the process of encoding information using fewer bits than… …   Wikipedia

  • Data scraping — is a technique in which a computer program extracts data from human readable output coming from another program. Contents 1 Description 2 Screen scraping 3 Web scraping 4 …   Wikipedia

  • Data warehouse — Overview In computing, a data warehouse (DW) is a database used for reporting and analysis. The data stored in the warehouse is uploaded from the operational systems. The data may pass through an operational data store for additional operations… …   Wikipedia

  • Data acquisition — is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer. Data acquisition systems (abbreviated with the acronym DAS or… …   Wikipedia

  • Data mining — Not to be confused with analytics, information extraction, or data analysis. Data mining (the analysis step of the knowledge discovery in databases process,[1] or KDD), a relatively young and interdisciplinary field of computer science[2][3] is… …   Wikipedia

  • Data Analysis Techniques for Fraud Detection — Fraud is a million dollar business and it is increasing every year. The PwC global economic crime survey of 2009 suggests that close to 30% of companies worldwide reported fallen victim to fraud in the past year[1] Fraud involves one or more… …   Wikipedia

  • Data integration — involves combining data residing in different sources and providing users with a unified view of these data.[1] This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge… …   Wikipedia

  • Data, context and interaction — (DCI) is a paradigm used in computer software to program systems of communicating objects. Its goals are: To improve the readability of object oriented code by giving system behavior first class status; To cleanly separate code for rapidly… …   Wikipedia

  • Data Intensive Computing — is a class of parallel computing applications which use a data parallel approach to processing large volumes of data typically terabytes or petabytes in size and typically referred to as Big Data. Computing applications which devote most of their …   Wikipedia

  • Source lines of code — (SLOC) is a software metric used to measure the size of a software program by counting the number of lines in the text of the program s source code. SLOC is typically used to predict the amount of effort that will be required to develop a program …   Wikipedia

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